Abstract
A wide variety of tools have been designed to extract information on the nature and structure of terrestrial ecosystems from remote sensing data. Two approaches are described here in some detail: the use of spectral indices, and the design and inversion of physically-based models of the interaction between the radiation field and the surface. The advantages and drawbacks of these approaches are discussed, and the importance of combined field and laboratory measurement campaigns is stressed.
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6. References
Colwell, J. E. (1974) ‘Vegetation canopy reflectance’, Remote Sensing of Environment, 3, 175–183.
Curran, P. J. (1981) ‘Multispectral remote sensing for estimating biomass and productivity’, in Smith, H. (ed.) ‘Plants and the Daylight Spectrum’, Academic Press, London, 65–99.
Goel, N. S. (1988) ‘Models of vegetation canopy reflectance and their use in estimation of biophysical parameters from reflectance data’, Remote Sensing Review, 4, 1–212.
Goward, S. N., D. G. Dye, and C. J. Tucker (1985) TMorth American vegetation patterns observed byNOAA-7 AVHRR’, Vegetatio, 64, 3–14.
Goward, S. N., B. Markham, D. G. Dye, W. Dulaney, and J. Yang (1991) ‘Normalized difference vegetation index measurements from the Advanced Very High Resolution Radiometer’, Remote Sensing of Environment, 35, 257–277.
Gutman, G. (1991) ‘Vegetation indices from AVHRR: An update and future prospects’, Remote Sensing of Environment, 35, 121–136.
Holben, B. (1986) ‘Characteristics of maximum-value composite images from temporal AVHRR data’, International Journal of Remote Sensing, 1, 1417–1434.
Huete, A. R. (1988) ‘A soil-adjusted vegetation index (SAVI)’, Remote Sensing of Environment, 25, 295–309.
Justice, C. O., J. R. Townshend, B. N. Holben, and C. J. Tucker (1985) ‘Analysis of the phenology of global vegetation using meteorological satellite data’, International Journal of Remote Sensing, 6, 1271–1318.
Kaufman, Y. J. (1989) ‘The atmospheric effect on remote sensing and its correction’, in G. Asrar (ed.) ‘Theory and Applications of Optical Remote Sensing’, Wiley, New York, 336–428.
Kaufman, Y. J. and D. Tanré (1992) ‘Atmospherically resistant vegetation index (ARVI) for EOS-MODIS’, IEEE Transactions on Geosciences and Remote Sensing, 30, 261–270.
Malingreau, J. (1986) ‘Global vegetation dynamics: Satellite observations over Asia’, International Journal of Remote Sensing, 7, 1121–1146.
Meyer, D., M.M. Verstraete, and B. Pinty (1993) ‘The effect of surface anisotropy and viewing geometry on the estimation of NDVI from AVHRR’, Remote Sensing Reviews, in print.
Perry, C. and L. F. Lautenschlager (1984) ‘Functional equivalence of spectral vegetation indices’, Remote Sensing of Environment, 14, 169–182.
Pinty, B. and M. M. Verstraete (1992) ‘On the design and validation of bidirectional reflectance and albedo models’, Remote Sensing of Environment, 41, 155–167.
Pinty, B., C. Leprieur, and M. M. Verstraete (1993) ‘Towards a quantitative interpretation of vegetation indices. Part 1: Biophysical canopy properties and classical indices’, Remote Sensing Reviews, in print.
Rahman, H., M.M. Verstraete, and B. Pinty (1993a) ‘A coupled surface-atmosphere reflectance (CSAR) model. Part 1: Model description and inversion on synthetic data’, Journal of Geophysical Research, in print.
Rahman, H., M.M. Verstraete, and B. Pinty (1993b) ‘A coupled surface-atmosphere reflectance (CSAR) model. Part 2: A semi-empirical surface model usable with NOAA/AVHRR data’, Journal of Geophysical Research, in print.
Verstraete, M. M. (1994) ‘Scientific issues and instrumental opportunities in remote sensing and high resolution sprectrometry’, in J. Hill and J. Mégier (eds.) ‘Imaging Spectrometry-a tool for environmental observations’, Kluwer Academic Publishers, Dordrecht (this volume).
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© 1994 ECSC, EEC, EAEC, Brussels and Luxembourg
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Verstraete, M.M. (1994). Retrieving Canopy Properties from Remote Sensing Measurements. In: Hill, J., Mégier, J. (eds) Imaging Spectrometry — a Tool for Environmental Observations. Eurocourses: Remote Sensing, vol 4. Springer, Dordrecht. https://doi.org/10.1007/978-0-585-33173-7_7
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DOI: https://doi.org/10.1007/978-0-585-33173-7_7
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